Jessie Rudi1, Jodi Dworkin2. 1. a Department of Family Social Science and Institute for Translational Research in Children's Mental Health , University of Minnesota , Saint Paul , Minnesota , USA. 2. b Department of Family Social Science , University of Minnesota , Saint Paul , Minnesota , USA.
Abstract
BACKGROUND: Prevention researchers have identified parental monitoring leading to parental knowledge to be a protective factor against adolescent substance use. In today's digital society, parental monitoring can occur using technology-mediated communication methods, such as text messaging, email, and social networking sites. OBJECTIVES: The current study aimed to identify patterns, or clusters, of in-person and technology-mediated monitoring behaviors, and examine differences between the patterns (clusters) in adolescent substance use. METHODS: Cross-sectional survey data were collected from 289 parents of adolescents using Facebook and Amazon Mechanical Turk (MTurk). Cluster analyses were computed to identify patterns of in-person and technology-mediated monitoring behaviors, and chi-square analyses were computed to examine differences in substance use between the identified clusters. RESULTS: Three monitoring clusters were identified: a moderate in-person and moderate technology-mediated monitoring cluster (moderate-moderate), a high in-person and high technology-mediated monitoring cluster (high-high), and a high in-person and low technology-mediated monitoring cluster (high-low). Higher frequency of technology-mediated parental monitoring was not associated with lower levels of substance use. CONCLUSIONS: Results show that higher levels of technology-mediated parental monitoring may not be associated with adolescent substance use.
BACKGROUND: Prevention researchers have identified parental monitoring leading to parental knowledge to be a protective factor against adolescent substance use. In today's digital society, parental monitoring can occur using technology-mediated communication methods, such as text messaging, email, and social networking sites. OBJECTIVES: The current study aimed to identify patterns, or clusters, of in-person and technology-mediated monitoring behaviors, and examine differences between the patterns (clusters) in adolescent substance use. METHODS: Cross-sectional survey data were collected from 289 parents of adolescents using Facebook and Amazon Mechanical Turk (MTurk). Cluster analyses were computed to identify patterns of in-person and technology-mediated monitoring behaviors, and chi-square analyses were computed to examine differences in substance use between the identified clusters. RESULTS: Three monitoring clusters were identified: a moderate in-person and moderate technology-mediated monitoring cluster (moderate-moderate), a high in-person and high technology-mediated monitoring cluster (high-high), and a high in-person and low technology-mediated monitoring cluster (high-low). Higher frequency of technology-mediated parental monitoring was not associated with lower levels of substance use. CONCLUSIONS: Results show that higher levels of technology-mediated parental monitoring may not be associated with adolescent substance use.
Authors: Michaeline Jensen; Madeleine J George; Michael A Russell; Melissa A Lippold; Candice L Odgers Journal: Res Child Adolesc Psychopathol Date: 2021-04-05